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NA Digest, V. 20, # 10

NA Digest Sunday, March 08, 2020 Volume 20 : Issue 10


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Valeriya Naumova valeriya@simula.no
Date: March 03, 2020
Subject: Machine Learning Crash Course, Norway, May 2020


MACHINE LEARNING CRASH COURSE 2020
on May 25-29, 2020, at Simula Research Laboratory, Oslo
http://lcsl.mit.edu/courses/mlcc/mlcc2020/

OVERVIEW: Machine Learning Crash Course (MLCC) is a 25-hour
introductory machine learning course, including theory classes,
practical laboratory sessions, and industrial workshop. MLCC 2020
covers foundational concepts and essential algorithms in Machine
Learning. This course is suitable for undergraduate/graduate
students, as well as professionals who are starting, or need to brush
up machine learning skills. MLCC, started in 2014 at University of
Genova, has seen an increasing national and international attendance
over the years with more than 150 participants in 2019. The course is
free of charge for students and postdocs. Registration is required.

IMPORTANT DATES

April 03: Application deadline
April 15: Notification of acceptance
April 25: Registration fees due

Please send your inquiries to mlcc2020applications@gmail.com


From: Gerhard-Wilhelm Weber gerhard.weber@put.poznan.pl
Date: March 06, 2020
Subject: Extended deadline, EUROPT 2020, France, Jul 2020


The EUROPT 2020 Workshop, the annual event of the EUROPT Continuous
Optimization working group of EURO, will be held in Toulouse, France,
on July 1-3. It will bring together researchers from Europe and
around the globe for stimulating discussions on the latest
developments in continuous optimization.

We are pleased to announce the following deadline extensions:
- Abstract Submission: Extended to March 22, 2020
- Abstract Acceptance: Extended to April 5, 2020
- Registration deadline: Extended to May 6, 2020

Authors are invited to submit abstracts through the EURO submission
system at http://www.euro-online.org/conf/europt2020/

Informations on organised sessions are available at
http://europt2020.recherche.enac.fr/?page_id=19 Please contact the
organisers to contribute to the sessions.

Registration is open at
http://europt2020.recherche.enac.fr/?page_id=21

More detailed information about EUROPT 2020 are disseminated via the
website http://europt2020.recherche.enac.fr/.


From: Ilse Ipsen ipsen@ncsu.edu
Date: March 08, 2020
Subject: IMSM Graduate Student Workshop, USA, Jul 2020


The 26th Industrial Mathematical & Statistical Modeling (IMSM)
Workshop for Graduate Students will take place at North Carolina State
University in Raleigh, NC, between July 12-22, 2020. The workshop is
sponsored by the Statistical and Applied Mathematical Sciences
Institute (SAMSI) along with the Center for Research in Scientific
Computation (CRSC), and the Dept. of Mathematics at North Carolina
State University.

The IMSM workshop exposes graduate students in mathematics, statistics
and engineering to exciting real-world problems from industry and
government. The workshop provides students with experience in a
research team environment and exposure to possible career
opportunities.

Local expenses and travel support will be covered for graduate
students at US institutions that are admitted to the workshop. The
official application deadline is April 2, 2020, but full consideration
will be given to all applications received prior to April 15, 2020.

Further Information is available at: http://www.samsi.info/imsm-20
and questions can be directed to grad@samsi.info


From: FBP 2020 organisers fbp2020@wias-berlin.de
Date: March 03, 2020
Subject: Free Boundary Problems, Germany, Aug-Sep 2020


We are pleased to announce that registration and the call for
contributions is now open for the 15th International Conference on
Free Boundary Problems: Theory and Applications 2020 (FBP 2020). The
conference will take place on the Mitte campus of the Humboldt
University (HU) of Berlin, August 31st to September 4th, 2020.

Full details can be found at https://fbp2020.de

The FBP conference is a flagship event that brings together the free
boundary/partial differential equation community and is organized
every few years with the most recent occurrences in Shanghai (China,
2017) and Cambridge (UK, 2014) after the historical beginnings of the
conference series in Montecatini (Italy, 1981). FBP 2020 is hosted by
the Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
Berlin. The conference will include plenary talks, invited
mini-symposia, and contributed sessions.


From: Gabriele Ciaramella gabriele.ciaramella@uni-konstanz.de
Date: March 06, 2020
Subject: Summer School, Advanced Domain Decomposition Methods, Germany, Sep 2020


We are pleased to announce the Summer School on Advanced Domain
Decomposition Methods, in Konstanz, Germany.

The goal of this summer school is to introduce basic and advanced
domain decomposition methods to researchers interested in
understanding these methods, and to give them detailed insight on how
these methods reduce various error components and are used in
practice. The course will cover domain decomposition methods for
various problems ranging from classical stationary partial
differential equations (PDEs) to time-dependent problems, passing
through PDEs with high-contrast coefficients, heterogeneous problems
and PDE-constrained optimization problems.

The school is suitable for young mathematitians (PhD students and
highly motivated Master Students), who wish to either get in touch
with domain decomposition methods, as well as young researchers and
Post-doc who desire to strengthen and broaden their knowledge on
advanced domain decomposition techniques.

The summer school will be held in September 21-25, 2020 at the
University of Konstanz and is free of fees. Scholarships for travel
and/or local costs are available for excellent young researchers upon
request.

For more info please visit the website:

https://www.mathematik.uni-konstanz.de/volkwein/teaching/summer-school/home/


From: Montaz Ali montaz.ali@wits.ac.za
Date: March 07, 2020
Subject: Senior Lecturer/Associate Professor Position, Numerical Analysis


UNIVERSITY OF THE WITWATERSRAND, JOHANNESBURG FACULTY OF SCIENCE,
School of Computer Science and Applied Mathematics, SENIOR
LECTURER/ASSOCIATE PROFESSOR (NUMERICAL ANALYSIS)

Description: The School of Computer Science and Applied Mathematics
undertakes high-quality research in a wide variety of areas and is
home to several NRF rated scientists. In the domain of Applied
Mathematics the School's main research areas include symmetry methods
of differential equations, mathematical modelling, control theory,
optimization, numerical analysis and fluid mechanics. Furthermore,
research areas are in mathematics of finance, which include but are
not limited to portfolio optimization, risk management, risk
measurement, stochastic processes in finance and interest rate
modelling. We seek applicants with research and teaching experience in
the area of numerical analysis and optimization/optimal control.

Qualifications: For Senior Lecturer: Applicants must hold a doctorate
in numerical analysis. The applicant must have teaching experience at
a tertiary institution, particularly numerical analysis. Furthermore,
applicants must work in the area of optimization/optimal control. The
following factors will be taken into account: (i) evidence of
potential research in the area of numerical analysis, and
optimization/optimal control and supervision of postgraduate students,
research interests of the applicant must fit into the school
directions, (ii) teaching experience, and (iii) academic citizenship
(University administration). For Associate Professor: Applicants must
hold a doctorate in numerical analysis and have a minimum of five
years teaching experience at a tertiary institution, particularly
numerical analysis. Furthermore, applicants must work in the area of
Optimization/Optimal Control. The applicant research interest and
directions beyond PhD studies must be in the area of numerical
analysis. The following will be taken into account: (i) the applicant
must also be working in optimization/optimal control field of
study. Furthermore, the incumbent must have a sustained research
record and publications in recognised journal and or scholarly
books. Further, evidence of postgraduate supervision is necessary,
(iv) teaching experience, and (iii) academic citizenship (University
administration). A South African National Research Foundation rating
is advantageous (if available).

To apply: External applicants are invited to apply by registering
their profile on the Wits i-Recruitment platform located at
https://irec.wits.ac.za and submitting applications. Internal
employees are invited to apply directly on Oracle by following the
path: iWits/SelfService application/'Apply for a job'. Correspondence
will be entered into with short-listed candidates only. Short-listed
applicants must be available for a personal or telephonic/Skype
interview, and the presentation of a short seminar on the proposed
line of research may be required.

Closing date: 31 March 2020


From: Klemens Fellner klemens.fellner@uni-graz.at
Date: March 04, 2020
Subject: University Assistant Position, Mathematics, Graz, Austria


Institute of Mathematics and Scientific Computing is filling an
University Assistant with doctorate (40 hours a week; fixed-term
employment for the period of 6 years; position to be filled as of
September 1st 2020)

For more information follow the link:

https://jobs.uni-graz.at/de/MB/77/99/5746

In case of equal qualifications, women will receive priority
consideration.


From: Travis Askham askham@njit.edu
Date: March 04, 2020
Subject: Postdoc Position, Computational Waves, NJIT


Applications are invited for a postdoctoral position in the field of
computational wave propagation and scattering in the Department of
Mathematical Sciences at the New Jersey Institute of Technology. The
position is initially for one year, with the option to renew for one
final additional year, subject to satisfactory performance. The start
date is September 1, 2020, or earlier. Inquiries may be sent to
Professor Eliza Michalopoulou at michalop@njit.edu. Applications will
only be accepted through jobs.njit.edu; applications sent by email
will not be considered. The position will be open until filled.

Essential functions including conducting independent research as well
as collaborating with the wave propagation research group within the
Department of Mathematical Sciences.

Candidates should hold a recent Ph.D. in Mathematics or related field
with a research background in computational integral equations and/or
partial differential equations for elliptic and hyperbolic wave
problems. Experience in High Performance Computing for applications is
desirable.

Original ad: https://www.mathjobs.org/jobs/jobs/15719

Please apply at

https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=2092.


From: Hemant Tyagi hemant.tyagi@inria.fr
Date: March 05, 2020
Subject: Postdoc Position, Inria Lille


There is a postdoc available (for 18 months) in the area of "Large
scale inverse problems on graphs" at Inria Lille (MODAL team). The
position is open until filled, but all applications received before
30th March will be given full consideration. The starting date is 1st
July 2020.

More details about the position are available here:

https://jobs.inria.fr/public/classic/fr/offres/2020-02445

Interested candidates should send me an email (hemant.tyagi@inria.fr)
with their CV but it is eventually necessary to apply formally on the
Inria job portal with all requested documents:

https://jobs.inria.fr/public/classic/fr/offres/2020-02445


From: Sherry Li xsli@lbl.gov
Date: March 05, 2020
Subject: Postdoc Position, Lawrence Berkeley Lab


Berkeley Lab's Scalable Solvers Group in the Computational Research
Division has two immediate openings of postdoctoral position in the
areas of exascale computing and machine learning. The projects
involve the development of next-generation fast linear algebra
algorithms for large scale simulations and machine learning
applications, and the development of new statistical and machine
learning algorithms for performance autotuning of HPC codes. The
candidates will implement the new algorithms on emerging
supercomputers with GPU accelerators.

Please follow the link below to see more details and to apply online:

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=89806


From: Gerlind Plonka-Hoch plonka@math.uni-goettingen.de
Date: March 04, 2020
Subject: Postdoc and PhD Positions, Univ of Goettingen


The Research Training Group RTG 2088 "Discovering Structure in Complex
Data" at the Georg- August-University Gottingen offers positions for
one Ph.D. candidate and one PostDoc beginning a soon as possible. The
salary is in accordance with the German public service salary scale
(E13 TV-L) with 75 % of the regular working hours (currently 29.85
hours per week) for up to three years for the PhD candidates and 100 %
(E13 TVL) for three years for the PostDoc.

The research projects in this RTG focus on new mathematical concepts
in statistics, optimization, and inverse problems.

Detailed information for the PhD position can be found at

https://www.uni-goettingen.de/de/305402.html?cid=100658

and for the PostDoc position at

https://www.uni-goettingen.de/de/305402.html?cid=100676


From: Michael Hinze hinze@uni-koblenz.de
Date: March 06, 2020
Subject: PhD or Postdoc Position, Fluid mechanic shape optimization, Koblenz Univ


The Modeling, Simulation, and Optimization of Complex Systems Group of
Michael Hinze at the University Koblenz-Landau is inviting
applications for a research position in Shape Optimization with Phase
Field Models. The position is subject to the German law on fixed-term
contracts in science (WissZeitVG). The position can be filled
immediately and is limited to three years for doctoral students with
salary according to 0,75 EGr 13 TV-L, and to two years for
postdoctoral researchers according to a full salary EGr. 13 TV-L. The
successful candidate will work in the Modeling, Simulation, and
Optimization of Complex Systems Group of the University
Koblenz-Landau.

Topic: This project is part of the Priority Programme 1962 of the
German Research Foundation and aims at introducing, analyzing and
numerically realizing well-posed formulations of shape optimization
problems with instationary fluid flow. This will be achieved by
utilizing a phase-field ansatz and associated non-smooth homogeneous
free energy densities, which yield robust numerical approximations
and, for the sake of efficient computations, admit several levels of
model reduction ranging from adaptive meshing to proper orthogonal
decomposition. Moreover, a Darcy-type approach allows to
simultaneously optimize the topology of the fluid domain. This is a
joint project with the research group of Professor Hintermuller
located in Berlin at the Weierstrass Institute for Applied Analysis
and Stochastics. Both groups enjoy a history of successful
collaboration on other projects relating to optimization subject to
fluid flow.

Requirements: The successful candidate requires a master degree in
Applied Mathematics, Mechanical Engineering or Computational Physics,
ideally with a strong background in numerical methods for PDEs and
nonlinear programming, as well as experience in numerical fluid
mechanics. Fluency in both written and spoken English and the ability
to work in an interdisciplinary team are mandatory. Additional
knowledge in modern scientific programming is desired. Very strong
problem-solving skills, willingness to learn, ability to work
independently, experience/willingness in writing publications and good
presentation skills are essential. Please contact Prof. Dr. Michael
Hinze (phone: +49 (0)261/287-2310 or e-mail: hinze@uni-koblenz.de) for
further information.

It is the policy of the University Koblenz-Landau to increase the
percentage of female employees. If equally qualified, preference will
be given to female applicants in fields where they are
underrepresented. Disabled candidates are given priority, if equally
qualified. International candidates are highly encouraged to apply.

Applications should include a letter of motivation, complete
curriculum vitae with a list of publications and presentations,
certificates etc. Please send your application, quoting the reference
number Ko 46/2019, before April 1st, 2020 by e-mail in a single PDF
file to bewerbung-K21@uni-koblenz.de. Applications are accepted until
the position is filled. We do not send a confirmation of receipt. In
accordance to the protection of data privacy all documents will be
destroyed after the application procedure.


From: Bernard Haasdonk haasdonk@mathematik.uni-stuttgart.de
Date: March 06, 2020
Subject: PhD/Postdoc positions, MOR/ML, Univ of Stuttgart, Germany


I want to announce several PhD/Postdoc position openings in my group
at the University of Stuttgart. All positions are related to
surrogate modelling with model reduction or machine learning
techniques. The positions are to be filled as soon as possible. The
call for applications can be found at

http://www.haasdonk.de/data/announcement2020.pdf

The application deadline is March 29, 2020. Please forward this
message to potential candidates.


From: Kim Knudsen kiknu@dtu.dk
Date: March 06, 2020
Subject: PhD Position, Computational UQ for Hybrid Inverse Problems, DTU


We are looking for a talented PhD student that can help us understand,
how uncertainty can be modelled and quantified for Hybrid Inverse
Problems such as photo-acoustic or acousto-electric tomography.

The successful candidate will be hired and enrolled at DTU
Compute. The project is associated with the research initiative CUQI
financed by the Villum Foundation, and in collaboration with the
Department of Applied Physics at the University of Eastern Finland,
Kuopio Campus.

Applications must be submitted ONLINE by May 1, 2020. See the full
call at

https://www.dtu.dk/english/About/JOB-and-CAREER/vacant-positions/job?id=6133fbca-d511-4796-b644-1ffc2b154b10.

For further information, please contact Kim Knudsen (kiknu@dtu.dk).


From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: March 03, 2020
Subject: PhD Position, Numerical Analysis, Monash Univ


A PhD thesis is available to work on the design, analysis, and
implementation of new mixed finite element methods for interface
problems involving fluid-structure interaction in porous composite
materials.

We are looking for candidates with academic excellence as well as
having motivated to work on applied problems using sophisticate
numerical methods for nonlinear and coupled PDEs. Applicants must have
A Master degree (or equivalent) in mathematics, engineering,
scientific computing, or related disciplines; A solid background in
PDEs and mathematical aspects of finite element methods; Some
programming experience using, e.g., Python or C++; Provable strong
oral and written communication skills in English.

The School has a large, diverse, and vibrant research community of
academic staff and postgraduate students. It is a world-class centre
for research in diverse areas of mathematical sciences. The School
hosts a large and dynamic postgraduate community with students drawn
from a wide range of nationalities and backgrounds. This creates a
productive scientific environment as well as an active social
atmosphere. Plus, Melbourne is a fantastic city to live in!
Postgraduate students in the School are researching into topics that
cover the entire spectrum of mathematics, and all PhD students will
participate in the Monash Doctoral Program designed to prepare
graduates with the skills and capabilities sought by employers.

For further information, see

https://www.findaphd.com/phds/project/new-mixed-methods-for-interface-problems-in-continuum-mechanics/?p120007

https://www.monash.edu/science/research/graduate-research/scholarships

https://www.monash.edu/science/schools/school-of-mathematics/postgrad/postgraduate-research

Candidates are invited to contact pg.enquiries@monash.edu, providing
their academic record, to know whether they satisfy the 1st class
honours equivalence (which is a requirement for eligibility at
Monash). Informal inquiries can be then forwarded to A/Prof Ricardo
Ruiz Baier with the subject "Inquiries - PhD Interfaces", and the
application process requires to include a motivation letter, and a CV
with detailed academic record and two references.


From: Hayato Ushijima-Mwesigwa hayato@us.fujitsu.com
Date: March 04, 2020
Subject: Research Intern Position, Fujitsu Labs of America


Location: Sunnyvale, CA, USA

Duration: 3-4 months. The starting date is negotiable

Position: Full-time, Paid

Fujitsu Laboratories of America (FLA) has an internship opening for a
graduate-level student. The research will involve elements of
mathematical optimization, algorithm design, and machine learning on
novel computing hardware. FLA is the U.S. R&D arm of Fujitsu, the
global information and communications technologies leader
headquartered in Japan.

A qualified candidate would possess: Research-level experience in at
least one of the following: Integer and Linear Programming;
Combinatorial Algorithm design; Linear Algebra; Graph libraries e.g
NetworkX, Boost etc; and Machine learning algorithms.

Students in M.S. and Ph.D. programs with relevant coursework or
research experience are invited to apply, and we are open to advanced
undergraduates who can demonstrate relevant experience.

Strong programming skills; Demonstrated ability to publish research in
peer-reviewed journals or conference proceedings; The ability to work
quickly and creatively. We believe in agile research; The ability to
digest various information sources, even those outside of your regular
area of expertise. Most of our projects are multi-disciplinary.
Excellent communication skills; fluency in written and spoken English
is required. The ability to work independently as part of a mutually
supportive team is crucial. We're looking for self-propelled
self-starters with excellent teamwork skills.

If this sounds like something you'd be good at, please send a recent
CV to hayato@us.fujitsu.com

End of Digest
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